Haoran Dou (窦浩然)

I am a Ph.D. student in CISTIB at School of Computing, University of Leeds, supervised by Prof. Alejandro F. Frangi, Dr. Nishant Ravikumar and Dr. Seppo Virtanen.

I received my M.E. in MUSIC Lab at School of Biomedical Engineering, Health Science Center, Shenzhen University, supervised by Prof. Dong Ni. During my master period, I was offered the chance to visit the CRL, Boston Children's Hospital, and supervised by Dr. Ali Gholipour and Dr Davood Karimi. Before that, I obtained my B.E. at Sichuan University.

Email  /  Google Scholar  /  GitHub  /  ResearchGate  /  LinkedIn

My area of expertise is in artificial intelligence (AI) for in-silico clinical trials. Specifically, I focus on developing fundamental techniques for medical image digitization (e.g., segmentation/registration/meshing), as well as on the generative AI for virtual patient synthesis and virtual treatment simulation. Please see the following projects for more details.

➤ Virtual Chimaeras (2020-present)
➤ View Planning in Ultrasound (2017-present)
➤ Attention Mechanism in Segmentation (2018-2021)

A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras.
Haoran Dou, Seppo Virtanen, Nishant Ravikumar#, Alejandro F. Frangi#
In: IEEE Transactions on Neural Networks and Learning Systems, 2024. (IF: 10.4)
arXiv  /  Project Page

A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy.
Haoran Dou, Nishant Ravikumar#, Alejandro F. Frangi#
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
arXiv  /  Poster  /  Project Page

GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration.
Haoran Dou*, Ning Bi*, Luyi Han, Yuhao Huang, Xin Yang, Ritse Mann, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang#
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (Early Accept)
arXiv  /  Code  /  Poster

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound.
Yuxin Zou*, Haoran Dou*, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Early Accept)
arXiv  /  Project Page

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.
Haoran Dou*, Luyi Han*, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Early Accept)
arXiv  /  Code  /  Poster

Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound.
Xin Yang*, Haoran Dou*, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Oral Presentation)
In: IEEE Transactions on Medical Imaging, 2021. (IF: 10.6)
arXiv:tmi  /  arXiv:miccai  /  Code  /  Poster  /  Project Page

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni#, Ali Gholipour#.
In: IEEE Transactions on Medical Imaging, 2021. (IF: 10.6)
arXiv  /  Code  /  Project Page

Synthesising 3D Cardiac cine-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model
ISBI, 2024.

Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
ISBI, 2024. (Oral)

Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
ISBI, 2024.

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries
ISBI, 2024.

Generation of Synthetic Brain Vasculature using Shape/Anatomy Guided Latent Diffusion Models
VITM, 2024.

Streamlined Large-scale Construction of Virtual Twins of Aortic Root Complexes for In-silico Trials of Cardiac Valve Implants
VITM, 2024. (Oral)

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI
MICCAI Workshop: Simulation and Synthesis in Medical Imaging, 2023.

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
MICCAI Workshop: Deep Generative Models, 2023. (Short Oral)

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
MICCAI, 2023. Code

RecON: Online Learning for Sensorless Freehand 3D Ultrasound Reconstruction
Medical Image Analysis, 2023. Code

Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
MICCAI, 2023. (Early Accept)

Test-time Bi-directional Adaptation between Image and Model for Robust Segmentation
Computer Methods and Programs in Biomedicine, 2023.

For more publications, see my GoogleScholar

Chinese Student Awards from The Great Britain-China Educational Trust, 2023

IOP Outstanding Reviewer, 2023

Best Reviewers for IEEE Journal of Biomedical and Health Informatics, 2021

Best Paper Selection in the IMIA Yearbook of Medical Informatics, 2021

EPSRC DTP Studentship, 2020-2024

The First Prize Scholarship of Shenzhen University, 2017,2019

➤ Review Service

Medical Image Analysis

IEEE Transactions on Medical Imaging

IEEE Transactions on Artificial Intellengence

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Journal of Biomedical and Health Informatics

IEEE Transactions on Biomedical Engineering

Engineering Applications of Artificial Intelligence

Pattern Recognition

Frontiers in Physics

Progress in Biomedical Engineering

MICCAI 2022 - 2024

NeurIPS Workshop: Medical Imaging meets NeurIPS 2023

➤ Program Committees

Executive Assistant of the 28th International Conference on Information Processing in Medical Imaging (IPMI 2023)

➤ Teaching

University of Leeds, 21/22(2) COMP5611M Machine Learning

➤ Tutorial & Note

Learning Note on Deep Learning & Medical Image Analysis

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